Development of the rule-based inference engine for the advanced context-awareness

Abstract

Smart home services for users require precise and reliable context information to guarantee credibility. To do this, system should have ability of context-awareness. Most of the context-aware systems have adopted rule-based inference but it did not fulfill users' demand. To support valuable services in smart home environment, we present the rule-based inference engine which uses user profiles to let the system be aware of users' context much accurately. Since the physical and logical size of the domain is relatively small, we also introduce inference algorithm optimized for limited size of memory space of the system.